An End to End Data Collection Architecture for IoT Devices in Smart Cities

Murat Kuzlu, Halil Kalkavan, Oezguer Gueler, Nasibeh Zohrabi, Patrick J. Martin, Sherif Abdelwahed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

A smart city environment utilizes different types of Internet of Things (IoT) devices, i.e., sensors and actuators, to collect and analyze millions of data to manage assets, resources, and services efficiently to improve the quality of life. However, the data collection process is one of the most challenging tasks for smart cities. To meet the requirements of smart city applications, a robust and efficient data collection process is needed to collect data from IoT devices then deliver it to data centers. This paper proposes an end-to-end data collection architecture from IoT devices for different smart city applications, such as smart buildings, transportation, smart grids, healthcare, and others, through advanced communication technologies and protocols and database management approaches. The proposed architecture includes five main components, (1) IoT Networks, (2) Server-side MQTT Interfacing, (3) Server-side Streaming, (4) NoSQL Database, and (5) Web Server. Finally, this paper provides a case study to demonstrate the effectiveness of the proposed architecture and discuss each design component in detail.

Original languageEnglish (US)
Title of host publication2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665437752
DOIs
StatePublished - 2022
Event2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 - New Orleans, United States
Duration: Apr 24 2022Apr 28 2022

Publication series

Name2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
Volume2022-January

Conference

Conference2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
Country/TerritoryUnited States
CityNew Orleans
Period4/24/224/28/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Marketing

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